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#RAG Robustness

NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Jiayu Liu, Rui Wang et al.Jan 16arXiv

The paper studies why large language models (LLMs) sound too sure of themselves when using retrieval-augmented generation (RAG) and how to fix it.

#Retrieval-Augmented Generation#Confidence Calibration#Expected Calibration Error

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG

Fengran Mo, Zhan Su et al.Jan 13arXiv

OpenDecoder teaches large language models (LLMs) to pay more attention to better documents during Retrieval-Augmented Generation (RAG).

#Retrieval-Augmented Generation#LLM Decoding#Attention Modulation